101 Works

Additional file 14 of Decoding the colorectal cancer ecosystem emphasizes the cooperative role of cancer cells, TAMs and CAFsin tumor progression

Rongfang Shen, Ping Li, Botao Zhang, Lin Feng & Shujun Cheng
Additional file 14: Figure S7. Characterization of stromal cells in the KUL3 cohort. A. UMAP plot of stromal cells colored by cell cluster and sample origin. B. Heat map of marker genes identified through Seurat. For each cell cluster, cells were down-sampled to 100. C. Differentiation trajectory inferred by Monocle2. Dots represent stromal cells colored by identified cell cluster. D. Heat map plot of the top ranked regulons. E. Dot plot of the correlation between...

Additional file 15 of Decoding the colorectal cancer ecosystem emphasizes the cooperative role of cancer cells, TAMs and CAFsin tumor progression

Rongfang Shen, Ping Li, Botao Zhang, Lin Feng & Shujun Cheng
Additional file 15: Figure S8. Workflow of this study. Single-cell transcriptomes and bulk RNA-seq data were integrated to fully analyze the complicated relationship between colorectal epithelium and surrounding environment. C4 cells were featured with high invasive potential and related with TAMs and CAFs, and further validated in vitro using IHC and mIHC.

Additional file 8 of Decoding the colorectal cancer ecosystem emphasizes the cooperative role of cancer cells, TAMs and CAFsin tumor progression

Rongfang Shen, Ping Li, Botao Zhang, Lin Feng & Shujun Cheng
Additional file 8: Figure S1. Cellular landscape of CRC in the KUL3 cohort. A. UMAP plot of 26,268 cells colored by cell cluster, CMS and sample origin. Each dot represents a cell and cellular cluster is annotated with text. B. Proportions of the identified cell clusters distributed across tumor, border and adjacent normal tissues with the relative cell type proportions and total cell numbers. Upper: all cell clusters; lower: immune and stromal cell clusters. C....

Additional file 3 of Endoplasmic reticulum-quality control pathway and endoplasmic reticulum-associated degradation mechanism regulate the N-glycoproteins and N-glycan structures in the diatom Phaeodactylum tricornutum

Jichen Chen, Hong Du, Zidong Liu, Tangcheng Li, Hua Du, Wanna Wang, Muhammad Aslam, Weizhou Chen, Ping Li, Haodong Luo, Hao Fang & Xiaojuan Liu
Additional file 3: Table S2. The up- and down-regulated N-glycopeptides.

Decoding the colorectal cancer ecosystem emphasizes the cooperative role of cancer cells, TAMs and CAFsin tumor progression

Rongfang Shen, Ping Li, Botao Zhang, Lin Feng & Shujun Cheng
Abstract Background Single-cell transcription data provided unprecedented molecular information, enabling us to directly encode the ecosystem of colorectal cancer (CRC). Characterization of the diversity of epithelial cells and how they cooperate with tumor microenvironment cells (TME) to endow CRC with aggressive characteristics at single-cell resolution is critical for the understanding of tumor progression mechanism. Methods In this study, we comprehensively analyzed the single-cell transcription data, bulk-RNA sequencing data and pathological tissue data. In detail, cellular...

Anatomical distance affects functional connectivity at rest in medicine-free obsessive–compulsive disorder

Dan Lv, Yangpan Ou, Yunhui Chen, Zhenning Ding, Jidong Ma, Chuang Zhan, Ru Yang, Tinghuizi Shang, Guangfeng Zhang, Xiaoyu Bai, Zhenghai Sun, Jian Xiao, Xiaoping Wang, Wenbin Guo & Ping Li
Abstract Background Brain functional abnormalities at rest have been observed in obsessive–compulsive disorder (OCD). However, whether and how anatomical distance influences functional connectivity (FC) at rest is ambiguous in OCD. Methods Using resting-state functional magnetic resonance imaging data, we calculated the FC of each voxel in the whole-brain and divided FC into short- and long-range FCs in 40 medicine-free patients with OCD and 40 healthy controls (HCs). A support vector machine (SVM) was used to...

Additional file 2 of Copy number variant analysis for syndromic congenital heart disease in the Chinese population

Ping Li, Weicheng Chen, Mengru Li, Zhengshan Zhao, Zhiyu Feng, Han Gao, Meijiao Suo, Ziqing Xu, Guixiang Tian, Feizhen Wu, Sheng Wei & Guoying Huang
Additional file 2. Table S2. Training gene set generated from RDDC, Phenopedia, and DisGeNET.

Additional file 7 of Copy number variant analysis for syndromic congenital heart disease in the Chinese population

Ping Li, Weicheng Chen, Mengru Li, Zhengshan Zhao, Zhiyu Feng, Han Gao, Meijiao Suo, Ziqing Xu, Guixiang Tian, Feizhen Wu, Sheng Wei & Guoying Huang
Additional file 7. Table S5. Prioritized genes of four tools.

Early-life antibiotic exposure increases the risk of childhood overweight and obesity in relation to dysbiosis of gut microbiota: a birth cohort study

Ping Li, Xuelian Chang, Xiaoyu Chen, Chuan Wang, Yu Shang, Dongyi Zheng & Kemin Qi
Abstract Background Early-life antibiotic exposure is associated with the development of later obesity through the disruption of gut microbiota in the animal models. However, the related epidemiological evidence is still conflicting. Methods A birth cohort was consisted of 2140 mother-infant pairs in Chaoyang District Maternal and Child Health Care Hospital in this study. Here, their available antibiotic exposure during the first one year of life was ascertained using a open-ended questionnaire and related anthropometric parameters...

Additional file 1 of Early-life antibiotic exposure increases the risk of childhood overweight and obesity in relation to dysbiosis of gut microbiota: a birth cohort study

Ping Li, Xuelian Chang, Xiaoyu Chen, Chuan Wang, Yu Shang, Dongyi Zheng & Kemin Qi
Supplementary Material 1

Additional file 1 of Implementing tuberculosis patient cost surveys in resource-constrained settings: lessons from Tanzania

Andrew Martin Kilale, Charles Makasi, Melkisedeck Majaha, Chacha Dionis Manga, Sylvia Haule, Pudensiana Hilary, Omari Kimbute, Stephen Kitua, Bhavin Jani, Nyagosya Range, Bernard Ngowi, Emmanuel Nkiligi, Emmanuel Matechi, Wilbard Muhandiki, Vishnu Mahamba, Beatrice Mutayoba & Julia Ershova
Additional file 1. Patient cost report.

Additional file 2 of Implementing tuberculosis patient cost surveys in resource-constrained settings: lessons from Tanzania

Andrew Martin Kilale, Charles Makasi, Melkisedeck Majaha, Chacha Dionis Manga, Sylvia Haule, Pudensiana Hilary, Omari Kimbute, Stephen Kitua, Bhavin Jani, Nyagosya Range, Bernard Ngowi, Emmanuel Nkiligi, Emmanuel Matechi, Wilbard Muhandiki, Vishnu Mahamba, Beatrice Mutayoba & Julia Ershova
Additional file 2. Report Nothern Zone

Additional file 3 of Implementing tuberculosis patient cost surveys in resource-constrained settings: lessons from Tanzania

Andrew Martin Kilale, Charles Makasi, Melkisedeck Majaha, Chacha Dionis Manga, Sylvia Haule, Pudensiana Hilary, Omari Kimbute, Stephen Kitua, Bhavin Jani, Nyagosya Range, Bernard Ngowi, Emmanuel Nkiligi, Emmanuel Matechi, Wilbard Muhandiki, Vishnu Mahamba, Beatrice Mutayoba & Julia Ershova
Additional file 3. TB patient cost survey report

Additional file 5 of Implementing tuberculosis patient cost surveys in resource-constrained settings: lessons from Tanzania

Andrew Martin Kilale, Charles Makasi, Melkisedeck Majaha, Chacha Dionis Manga, Sylvia Haule, Pudensiana Hilary, Omari Kimbute, Stephen Kitua, Bhavin Jani, Nyagosya Range, Bernard Ngowi, Emmanuel Nkiligi, Emmanuel Matechi, Wilbard Muhandiki, Vishnu Mahamba, Beatrice Mutayoba & Julia Ershova
Additional file 5. Team number one.

Additional file 5 of Implementing tuberculosis patient cost surveys in resource-constrained settings: lessons from Tanzania

Andrew Martin Kilale, Charles Makasi, Melkisedeck Majaha, Chacha Dionis Manga, Sylvia Haule, Pudensiana Hilary, Omari Kimbute, Stephen Kitua, Bhavin Jani, Nyagosya Range, Bernard Ngowi, Emmanuel Nkiligi, Emmanuel Matechi, Wilbard Muhandiki, Vishnu Mahamba, Beatrice Mutayoba & Julia Ershova
Additional file 5. Team number one.

Data from: A field experiment exploring disturbance-and-recovery, and restoration methodology of Zostera capensis to support its role as a coastal protector

Manuela Amone-Mabuto, Johan Hollander, Janine Adams, Blandina Lugendo & Salomão Bandeira
This DRYAD data set covers statistical analysis for the study, "Seagrass restoration experiment to support coastal protection." Dataset attached covers row data regarding field experiments carried out to demonstrate the time needed for the seagrass to recover after disturbance (imitation of anthropogenic impact). The data is centered on showing the evolution (increase) of seagrass shoot density after a quantified period (time series over a year) where the pressure to seagrass is halted. Halting of pressure...

Predictive Value of Adenoid-Nasopharyngeal Ratio in the Diagnosis of Secretory Otitis Media

Ping Li, Tao Li, Liang Yu, Aiping Chen, Yisha Wu, Yuzhu Wan & Li Shi
ObjectivesTo explore the associated factors of otitis media with effusion (OME) and analyze the diagnostic value of the adenoid-nasopharyngeal (A/N) ratio to OME.MethodsPatients with adenoid hypertrophy (AH) recently in 2 years were collected, including sex, age, duration, with/without rhinosinusitis, and examination results, including Cone Beam Computerized Tomography (CBCT) sinus imaging, tympanometry, pure tone audiometry (PTA), blood test, and allergen detection. According to Liden/Jerger’s classification, the patients were divided into two groups: Type B and type...

Daidzein stimulates fatty acid-induced fat deposition in C2C12 myoblast cells via the G protein-coupled receptor 30 pathway

Chengjian Zhou, Ping Li, Meihong Han & Xuejun Gao
Fat deposition in skeletal muscle is an important aspect of improving meat quality. Isoflavones can promote animal anabolism, but whether and how they regulate muscle fat deposition remain largely unclear. In this study, we explored the role and corresponding molecular mechanism of one of the major isoflavones, daidzein, in fat deposition in C2C12 myoblast cells. In the absence of fatty acids (FAs), daidzein did not promote triglyceride synthesis and lipid droplet formation in cells but...

Additional file 1 of Decoding the colorectal cancer ecosystem emphasizes the cooperative role of cancer cells, TAMs and CAFsin tumor progression

Rongfang Shen, Ping Li, Botao Zhang, Lin Feng & Shujun Cheng
Additional file 1: Table S1. Basic clinical information and QC metric of SMC and KUL3 cohort.

Additional file 5 of Decoding the colorectal cancer ecosystem emphasizes the cooperative role of cancer cells, TAMs and CAFsin tumor progression

Rongfang Shen, Ping Li, Botao Zhang, Lin Feng & Shujun Cheng
Additional file 5: Table S5. Biological functional difference between colorectal cancer cells and adjacent normal epithelia in SMC and KUL3 cohort. Related to Figure 3A and S3A.

Additional file 9 of Decoding the colorectal cancer ecosystem emphasizes the cooperative role of cancer cells, TAMs and CAFsin tumor progression

Rongfang Shen, Ping Li, Botao Zhang, Lin Feng & Shujun Cheng
Additional file 9: Figure S2. Functional heterogeneity of CRC epithelial cells in the SMC cohort. A. UMAP feature plot of the top 10 upregulated genes in the SMC cohort. B. Correlation heat map of 123 programs identified by cNMF. The Pearson correlation coefficient is indicated by the color. C. Heatmap of the relative mean signature score of cancer cell functional signatures across C1-C7. The signature score was calculated using the “AUCell” package. D. Heatmap of...

Additional file 1 of Anatomical distance affects functional connectivity at rest in medicine-free obsessive–compulsive disorder

Dan Lv, Yangpan Ou, Yunhui Chen, Zhenning Ding, Jidong Ma, Chuang Zhan, Ru Yang, Tinghuizi Shang, Guangfeng Zhang, Xiaoyu Bai, Zhenghai Sun, Jian Xiao, Xiaoping Wang, Wenbin Guo & Ping Li
Additional file 1: TableS1 Comparison of GMV volume between two groups.

Data from: Delineating seagrass species in the genera Halodule and Halophila from Tanzanian coastal waters using ITS and rbcL DNA barcoding

James Leonard Lusana & Blandina Robert Lugendo
The seagrass species in Halodule and Halophila may for several reasons be considered as taxonomic complexes. They show close evolutionary relationships, morphological plasticity, and share similar features making misidentifications likely when morphological identification is applied. In Tanzanian coastal waters, there is some uncertainty about the identity of members of Halodule, particularly the existence of Halodule wrightii and the species composition of the Halophila ovalis complex. This study used morphology as well as internal transcribed spacer...

Additional file 2 of Editing of the rice importin gene IMPα1b results in sequestration of TAL effectors from plant cell nuclei

Jinfeng Peng, Jingyuan Nie, Xiaochen Chen, Liyuan Zhang, Xiaohui Yao, Ping Li, Huicong Shi, Congfeng Song & Hansong Dong
Additional file 2. Figure S1. Split-ubiquitin-based yeast two-hybrid (SUB-Y2H) and luciferin (Luc) living fluorescence imaging (LLFI) assays of protein combinations between PthXo1 and different variants of OsIMPα1b and OsIMPα1a (shown as IMPα1b and IMPα1a in this figure). Figure S2. CRISPR/Cas9-based OsIMPα1a gene editing and viability of OsIMPα1a-edited (OsIMPα1a-ED) and OsIMPα1b-edited (OsIMPα1b-ED) rice lines. Figure S3. Plants growing in the specific rice-growing pond and representing plant populations of the wild type (Nipponbare) and OsIMPα1b-edited lines (OsIMPα1b-ED#6...

Additional file 11 of Copy number variant analysis for syndromic congenital heart disease in the Chinese population

Ping Li, Weicheng Chen, Mengru Li, Zhengshan Zhao, Zhiyu Feng, Han Gao, Meijiao Suo, Ziqing Xu, Guixiang Tian, Feizhen Wu, Sheng Wei & Guoying Huang
Additional file 11. Fig. S3. The prioritized genes overlapping between the four tools.

Registration Year

  • 2022
    101

Resource Types

  • Dataset
    35
  • Text
    30
  • Collection
    18
  • Image
    18

Affiliations

  • University of Dar es Salaam
    101
  • The First Affiliated Hospital of Jinzhou Medical University
    87
  • Capital Medical University
    87
  • Xi'an Jiaotong University
    87
  • Guangdong Provincial Hospital of Traditional Chinese Medicine
    87
  • Zhongda Hospital Southeast University
    87
  • Nanjing University
    87
  • China Pharmaceutical University
    87
  • Beijing Institute of Technology
    87
  • Shanghai Jiao Tong University
    87